Triple

T22203032
Position Surface form Disambiguated ID Type / Status
Subject Ring 3 (Copenhagen) E548727 entity
Predicate roadNetwork P385 FINISHED
Object Danish national road network — NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Danish national road network | Statement: [Ring 3 (Copenhagen), roadNetwork, Danish national road network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danish national road network
Context triple: [Ring 3 (Copenhagen), roadNetwork, Danish national road network]
  • A. Norwegian national road network
    The Norwegian national road network is the nationwide system of major public roads in Norway that connects cities, regions, and key infrastructure, including both national highways and European routes.
  • B. Swedish national road network
    The Swedish national road network is the countrywide system of major public roads that connects regions and cities across Sweden and is managed at the national level.
  • C. Finnish national road network
    The Finnish national road network is the nationwide system of major highways in Finland that connects cities, regions, and international routes to support long-distance travel and freight transport.
  • D. Dutch national road network
    The Dutch national road network is an extensive, high-quality system of motorways and major roads that connects cities and regions throughout the Netherlands and supports heavy domestic and international traffic.
  • E. Polish national roads network
    The Polish national roads network is a system of major public highways across Poland that connects cities and regions, supporting national and international road transport.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danish national road network
Target entity description: The Danish national road network is the nationwide system of interconnected motorways, primary routes, and major roads that facilitates long-distance and regional transport across Denmark.
  • A. Norwegian national road network
    The Norwegian national road network is the nationwide system of major public roads in Norway that connects cities, regions, and key infrastructure, including both national highways and European routes.
  • B. Swedish national road network
    The Swedish national road network is the countrywide system of major public roads that connects regions and cities across Sweden and is managed at the national level.
  • C. Finnish national road network
    The Finnish national road network is the nationwide system of major highways in Finland that connects cities, regions, and international routes to support long-distance travel and freight transport.
  • D. Dutch national road network
    The Dutch national road network is an extensive, high-quality system of motorways and major roads that connects cities and regions throughout the Netherlands and supports heavy domestic and international traffic.
  • E. Polish national roads network
    The Polish national roads network is a system of major public highways across Poland that connects cities and regions, supporting national and international road transport.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b24c6fc81909e6ae62564846bd1 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.